Training Computer

Qiang Zhang

School of Computing, Informatics and Decision Systems Engineering

Arizona State University, Tempe, AZ 85287

Email: ********@***.***

Phone: 480-***-****

Home page: http://www.public.asu.edu/~qzhang53

Address: 1718 S. Jentilly Ln. Apt 213, Tempe, AZ, 85281

Objective

To seek a full time position in computer vision, signal and image processing, including image

enhancement, super-resolution, pattern recognition.

Education

2009.8-Present Department of Computer Science and Engineering Ph.D.

Arizona State University, AZ [GPA 4.0/4.0]

2005.9-2009.6 College of Information Science and Technology, B.S.

Beijing Normal University, China

Skills

Problem solving with sparse representation: familiar the optimization algorithms/tools for sparse

representation and matrix completion;

Prototyping of algorithms: implementing the algorithms, designing the GUI/demo in Windows ;

Programing language: C/C++, Matlab, Object C, also familiar with OpenCV, MEX and other

tools for computer vision and machine learning.

Research Experience

Qualcomm MEMS Technology 2012.5-2012.8

Interim Engineering Intern, working on the new generation touch and gesture system:

Designing algorithm and hardware for a new generation touch and gesture system ;

The designed system can support multi-touch, near field gesture and stylus simultaneously;

It is a single flat device and scalable to different sizes;

Two patent applications;

Sharp Laboratories of America 2011.5-2011.8

Summer Internship, working on the applications of computer vision for industrial inspection camera:

Real Time Object Detection: focusing on enhancing the edge detection for the template and input

image, which improves the detection accuracy and also has low time cost;

Real Time Defect Detection: develop a highly accurate, real time and unsupervised defect

detection algorithm for the surface inspection. The algorithm is robust to various kinds of

surfaces, defect regions and imaging conditions.

A US patent;

Department of Com. Sci. & Eng., Arizona State Univeristy 2009.8~Present

Research Assistant, working on the following computer vision and multimedia related projects:

Automatic Understanding of Motion Expertise in Simulation-based Surgical Training: on

understanding a fundamental issue in building an automated system, e.g. how visual features

computed from videos capturing surgical actions may be related to the motion expertise of the

operator;

Compressive Sensing and Matrix Completion for Correlated Sources: a new model called

JSM-MC for extracting 3 components from an ensemble of face images. These components have

their respective physical signi cance in terms of representing different types of information in the

original ensemble, hence facilitating an analysis task such as recognition. A new learning

algorithm called D-KSVD extending the K-SVD by incorporating the classi cation error into the

objective function, thus allowing the performance of a linear classi e r and the representational

power of the dictionary being considered at the same time by the same optimization procedure.

Multiple Class Multiple Instance Learning: applying the McMIL algorithm to image analysis

task, e.g. multiple class image categorization, image scene classification, automated diagnosis of

retinopathy by retina images.

Publications

[1] Lin Chen, Qiongjie Tian, Qiang Zhang and Baoxin Li. Learning Skill-Defining Latent Space in

Video-Based Analysis of Surgical Expertise A Multi-Stream Fusion Approach.

NextMed/MMVR20. San Diego, CA, 2013.

[2] Qiongjie Tian, Lin Chen, Qiang Zhang and Baoxin Li. Enhancing Fundamentals of

Laparoscopic Surgery Trainer Box via Designing A Multi -Sensor Feedback System.

NextMed/MMVR20. San Diego, CA, 2013.

[3] Qiang Zhang, Lin Chen, Qiongjie Tian and Baoxin Li. Video-based analysis of motion skills in

simulation-based surgical training. SPIE Multimedia Content Access: Algorithms and Systems

VII. San Francisco, CA, 2013.

[4] Qiang Zhang, Chang Yuan, Xinyu Xu, Peter Van Beek, Hae jong Seo, and Baoxin Li. Efficient

defect detection with sign information of Walsh Hadamard transform. IS&T/SPIE Image

Processing: Machine Vision Applications VI. San Francisco, CA, 2013.

[5] Qiang Zhang and Baoxin Li. Mining Discriminative Components With Low-Rank And Sparsity

Constraints for Face Recognition. The 18th ACM SIGKDD International Conference On

Knowledge Discovery and Data Mining (SIGKDD 2012).

[6] Qiang Zhang and Baoxin Li. Video-based motion expertise analysis in simulation-based surgical

training using hierarchical dirichlet process hidden markov model. In Proceedings of the 2011

international ACM workshop on Medical multimedia analysis and retrieval (MMAR '11). ACM

[oral], New York, NY, USA, 19-24.

[7] Zhang, Qiang and Li, Baoxin, Towards Computational Understanding of Skill Levels in

Simulation-Based Surgical Training via Automatic Video Analysis, International Symposium on

Visual Computing (ISVC) 2010, Las Vegas, NV

[8] Jin Zhou, Qiang Zhang, Baoxin Li and Ananya Das, Synthesis of Stereoscopic Views from

Monocular Endoscopic Videos, IEEE Computer Vision and Pattern Recognition (CVPR) 2010

workshop on Mathematical Methods in Biomedical Image Analysis, San Francisco, CA

[9] Qiang Zhang and Baoxin Li, Joint Sparsity Model with Matrix Completion for an Ensemble of

Images, IEEE International Conference on Image Processing (ICIP) 2010 [oral], Hong Kong,

China

[10] Qiang Zhang and Baoxin Li, Discriminative K-SVD for Dictionary Learning in Face

Recognition, IEEE Computer Vision and Pattern Recognition (CVPR) 2010, San Francisco, CA

[11] Qiang Zhang and Pengfei Xu and Wen Li and Zhongke Wu and Mingquan Zhou, Efficient Edge

Matching Using Improved Hierarchical Chamfer Matching, Aug, IEEE International Symposium

on Circuits and Systems (ISCAS) 2009, Taipei, Taiwan

[12] Qiang Zhang and Hua Li and Yan Zhao and Xinlu Liu, Exploration of Event -Evoked Oscillaotry

Activities during a Cognitive Task, The 4th International Conference on Natural Computation

and The 5th International Conference on Fuzzy Systems and Knowledge Discovery

(ICNC-FSKD) 2008, Jinan, China

Honors and Awards

Outstanding Volunteer Service Award by ACM MM 2011 2011.11

Research Assistantship 2009.8

Professional Activities

Student Member of IEEE Computer Society and Association for Computing Machinery

Student Volunteer for ACM MM 2011, Scottsdale, AZ, Nov 2 011

Student Volunteer for ROSE & HAVE 2010, Phoenix, AZ, Oct 2010

Student Volunteer for CVPR 2010, San Francisco, CA, June 2010

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